We have used the dataset from the COVID-19 cough sub-challenge (CCS) and the
COVID-19 speech sub-challenge (CSS) from the Inter Speech 2021 ComParE challenge [1]}. This dataset is a subset of the bigger dataset [2]} collected by University of Cambridge. In this dataset there are 929 cough audios from 397 participants and 893 speech recordings from 366 participents. Each recording included a COVID-19 test result that was self-reported by the participant. To build the two-class classification task, the original COVID-19 test results were mapped to positive (designated as `P') or negative (designated as `N') categories.
